DraftKings Logo

DraftKings

Manager, Data Science Engineering

Posted 11 Days Ago
Be an Early Applicant
Hybrid
London, Greater London, England
Mid level
Hybrid
London, Greater London, England
Mid level
As a Manager of Data Science Engineering, you will manage a team of sports modellers, oversee the design and development of sports models and applications, collaborate with business leads, contribute to DS project architecture, and mentor engineers to ensure high-quality output.
The summary above was generated by AI

We're defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming.
Here, "impossible" isn't part of our vocabulary. You'll face some of the toughest but most rewarding challenges of your career. They're worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers.
The Crown Is Yours
Our team comprises sports modelling experts and data science technologists, coming together to develop innovative DS products that deliver incremental value on the Sportsbook platform at DraftKings.
As part of this role, you will be a proven leader, creative thinker, utilizing data, machine learning, and software development skills to craft high-impact solutions that grow the business.
What you'll do as a Manager, Data Science Engineer

  • Manage a squad of sports modellers as they develop, test and deploy sports models and sportsbook applications to production
  • Take ownership for the design, development, maintenance and testing strategy of sports models
  • Collaborate with business leads across Sportsbook and Engineering to define milestones and deliverables for new sports models or enhancements to existing models
  • Contribute to the architecture and design of DS projects and strategic initiatives, with specific focus on quality, stability, and efficiency
  • Mentor and lead design and knowledge transfer sessions, ensuring other engineers within data science deliver high quality work


What you'll bring

  • Ideally, you have experience as a team leader on a data science or quantitative analytics team where you were responsible for overseeing all aspects of technical projects, including development and deployment, and then monitoring of how those applications perform in production
  • Highly proficient in at least one programming language, ideally Python with a strong understanding of object-oriented programming principles
  • Experience building sports models in a previous role or as a passion project
  • Experience with AWS based services and infrastructure; ideally with AWS ML tools
  • Experience with typical DevOps flows, such as containerisation and monitoring
  • Experience with Kubernetes and Kafka are very desirable
  • Understanding of Sportsbook products will be considered an asset
  • Excellent communication & organizations skills with the ability to articulate key business information quickly and effectively
  • PhD, Masters or Bachelor's degree in STEM fields
  • Keen interest in sports


#LI_SM1
Join Our Team
We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.

Top Skills

Python

DraftKings London, England Office

Across Data Science and Enterprise Commercial, our teams in London wield complex data sets and modeling to deliver critical information to our Sportsbook Platform.

Similar Jobs at DraftKings

11 Days Ago
Hybrid
London, Greater London, England, GBR
Entry level
Entry level
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Lead Data Science Engineer role at a sports and entertainment technology company involved in developing cutting-edge products and shaping the future of responsible gaming. Responsibilities include implementing DS applications, creating statistical and machine learning models, data engineering, writing production quality code, collaborating with various teams, and coaching junior data scientists. Requires expertise in Python, database technologies, ML automation, AWS, DevOps principles, and Kubernetes. Strong communication and organizational skills are essential.
Top Skills: Python

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account